The WEATHER project addresses this critical challenge by bridging the gap between climate forecasting and practical public health action. Our goal is to co-develop, pilot, and evaluate an integrated Early Warning System (EWS) that issues timely, localised warnings to communities, healthcare facilities, and government disaster management units before floods and climate-linked disease outbreaks occur. By pairing cutting-edge AI technology with public community action, we aim to build a resilient, equitable health system and communities capable of protecting lives during extreme weather.

How We Work

At the core of WEATHER is a commitment to participatory co-creation. Technology is only effective when designed alongside the people who rely on it. Our process follows five key pillars:

1. Evidence-Driven Design: Synthesising global literature, regional water quality testing, and epidemiological data to ground our models in hard evidence.
2. Community Co-Creation: Listening to residents’ lived experiences during past disasters to shape warning messages that are easy to understand and act upon.
3. Health System Strengthening: Assessing clinic infrastructure while assessing knowledge gaps and delivering training for health workers.
4. Data Integration & AI: Feeding real-time environmental sensor data and historical health records into machine learning models to generate actionable forecasts.
5. Policy Alignment: Translating technical findings into clear policy recommendations to guide  resource allocation and long-term disaster planning.